Data Scientist: AI & Experimentation (Hybrid)

LinkedIn; California; Hybrid; USD 101,000 - 167,000; Full time

Job summary

LinkedIn is hiring an early-career data scientist to join a product team in a hybrid role based in California. You will write SQL and Python to investigate how members use the product, read A/B results, build dashboards and analysis docs, and learn experimentation at LinkedIn's scale.

You'll prototype data solutions, collaborate with data science, AI, and engineering teams, develop metrics, and help shape AI/LLM systems.

Qualifications

• Bachelor's degree in applied math, CS, data science, econ, engineering, informatics, statistics, or related field
• 1+ year of data science experience or equivalent
• Experience with at least one programming language (R, Python, Java, Ruby, Scala/Spark or Perl)
• Master's or Doctorate in related field preferred
• Experience with experimentation platforms, causal inference, product domain expertise or evaluating AI / LLM-powered features
• Written communication and structured thinking abilities
• Curiosity about how products work and why members behave the way they do

Responsibilities

• Performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems.
• Performs analyses to support the definition of metrics that leads to data-driven target setting and decision-making.
• Leverage AI tools in day-to-day workflows to increase productivity
• Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) to help determine what drives metric relationships and create actionable insights within basic product domains.
• Collaborates with relevant partners on defining metrics and frameworks for evaluating AI/LLM systems and agentic product performance.
• Supports AI system roadmaps through assessing model performance.
• Prototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, AI, Engineering) to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights at scale, with guidance.
• Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions.
• Provides consultation to partners on basic data questions to enable data democratization.
• Understands and identifies patterns of user behavior leveraging data mining techniques and provides insights and data-informed recommendations to internal partners.
• Creates compelling, data-centric stories based on analytical findings to support internal customers' decision-making.

Skills

Data Science

Data Storytelling

Statistics

Strategic Thinking

Education

Bachelor's degree in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field

Job description

LinkedIn is hiring an early-career data scientist to join a product team in a hybrid role based in California. You will write SQL and Python to investigate how members use the product, read A/B results, build dashboards and analysis docs, and learn experimentation at LinkedIn's scale.

You'll prototype data solutions, collaborate with data science, AI, and engineering teams, develop metrics, and help shape AI/LLM systems.